Evidence map›Paper›PMID 39921219›Full record

ReviewClinical pharmacology and therapeutics2025

IQ Survey Results on Current Industry Practices: Part 2-Quantitative Evaluations of Immunogenicity Assessment.

Susan Richards, Insa Winzenborg, Doreen Luedtke, Tao Niu, Lora Hamuro, Karey Kowalski, Jocelyn H Leu, Jianning Yang, Vaishnavi Ganti, Indranil Bhattacharya and 4 more

Abstract readReview
In one paragraph

Review in Clinical pharmacology and therapeutics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Susan RichardsTranslational Medicine and Early Development, Sanofi R&D, Cambridge, Massachusetts, USA.ORCID 0000-0002-8288-5636
Insa WinzenborgClinical Pharmacology and Pharmacometrics, AbbVie Deutschland GmbH & Co. KG, Ludwigshafen am Rhein, Germany.ORCID 0000-0003-4015-7451
Doreen LuedtkeBoehringer Ingelheim Pharma GmbH & Co. KG, Biberach, Germany.
Tao NiuSarepta Therapeutics, Cambridge, Massachusetts, USA.
Lora HamuroClinical Pharmacology and Pharmacometrics, Bristol Myers Squibb, Princeton, New Jersey, USA.
Karey KowalskiPfizer, La Jolla, California, USA.
Jocelyn H LeuJanssen Research & Development, LLC, Spring House, Pennsylvania, USA.
Jianning YangAstellas Pharma Global Development, Inc., Northbrook, Illinois, USA.
Vaishnavi GantiClinical Pharmacology Sciences, Gilead Sciences, San Francisco, California, USA.
Indranil BhattacharyaData Science Institute, Takeda Pharmaceuticals, Lexington, Massachusetts, USA.ORCID 0000-0001-9268-6844
Ivelina GueorguievaEli Lilly and Company, Indianapolis, Indiana, USA.ORCID 0000-0001-5864-8924
Nael MostafaClinical Pharmacology, AbbVie Inc., North Chicago, Illinois, USA.
Christine GrimaldiRegeneron Pharmaceuticals, Tarrytown, New York, USA.ORCID 0000-0002-5915-4317
Benjamin WuGenentech Inc., South San Francisco, California, USA.ORCID 0000-0001-6443-3671

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

All biotherapeutics have the potential to induce an immunogenic response and generate anti-drug antibodies (ADAs), especially when administered as multiple doses over prolonged periods. However, a clinically meaningful effect of ADAs can be difficult to identify to communicate the impact of immunogenicity on drug exposure, safety and efficacy outcomes in product labels in a way that is useful for health care providers. The immunogenicity working Group, IQ Consortium (Clinical Pharmacology Leadership Group) has conducted a survey to understand the current practices in analyzing immunogenicity data generated during clinical development and its impact on pharmacokinetics, clinically relevant pharmacodynamic biomarkers, safety, and efficacy outcome measures. Information was collected for 93 drugs, spanning multiple drug classes and over the different phases of clinical development, including post-approval. The predominant drug classes reported included monoclonal antibodies or Fc-fusion proteins, endogenous protein replacement therapies, bispecific antibodies, and antibody-drug conjugates. The extent of quantitative evaluation varied and was influenced by several factors, including descriptive analyses, statistical approaches, and modeling. In addition to understanding current practices, this survey also highlights areas for future exploration in analyzing clinical relevance of ADAs which can facilitate the use for regulatory submissions and product labels.

Indexed as

AntibodiesBiological ProductsDrug IndustryAntibodies, MonoclonalDrug DevelopmentHumansSurveys and QuestionnairesAntibodiesAntibodies, MonoclonalBiological Products

Identifiers

PMID39921219
PMCPMC12087683

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.